Business operation process automatic evaluation method and system based on machine learning

• Main Author: HU LIJUN
• Format: Patent
• Language: Chinese; English
• Published: 01.08.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides an automatic evaluation method and system for a business operation process based on machine learning, and the method comprises the steps: extracting event data elements of business transaction, operation, system interaction and the like, forming event attributes of an operation path and a process, carrying out the learning, analysis and modeling of original event attributes, and carrying out the automatic evaluation of the business operation process. Comprising the steps of extracting event time, action relevance, event IDs, operation actions and the like, modeling through a large amount of machine learning, completing automatic evaluation of an operation process, giving a full-path diagram of all operation paths defined by a certain business framework, time, application and the like, and providing a full-path calculation basis by adopting a machine learning algorithm. The action probability of each operation and each path under a full path is analyzed and given through unique marks suc